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Learning Implicit Generative Models with the Method of Learned Moments

Learning Implicit Generative Models with the Method of Learned Moments

28 June 2018
Suman V. Ravuri
S. Mohamed
Mihaela Rosca
Oriol Vinyals
    GAN
ArXiv (abs)PDFHTML

Papers citing "Learning Implicit Generative Models with the Method of Learned Moments"

16 / 16 papers shown
Title
Understanding Deep Generative Models with Generalized Empirical
  Likelihoods
Understanding Deep Generative Models with Generalized Empirical Likelihoods
Suman V. Ravuri
Mélanie Rey
S. Mohamed
M. Deisenroth
VLM
72
5
0
16 Jun 2023
Visual Intelligence through Human Interaction
Visual Intelligence through Human Interaction
Ranjay Krishna
Mitchell L. Gordon
Fei-Fei Li
Michael S. Bernstein
60
8
0
12 Nov 2021
Knowledge Distillation in Iterative Generative Models for Improved
  Sampling Speed
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed
Eric Luhman
Troy Luhman
DiffM
240
282
0
07 Jan 2021
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based
  Models
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
Zhisheng Xiao
Karsten Kreis
Jan Kautz
Arash Vahdat
116
124
0
01 Oct 2020
Go with the Flow: Adaptive Control for Neural ODEs
Go with the Flow: Adaptive Control for Neural ODEs
Mathieu Chalvidal
Matthew Ricci
Rufin VanRullen
Thomas Serre
43
2
0
16 Jun 2020
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling
  by Exploring Energy of the Discriminator
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator
Yuxuan Song
Qiwei Ye
Minkai Xu
Tie-Yan Liu
65
8
0
05 Apr 2020
Your GAN is Secretly an Energy-based Model and You Should use
  Discriminator Driven Latent Sampling
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling
Tong Che
Ruixiang Zhang
Jascha Narain Sohl-Dickstein
Hugo Larochelle
Liam Paull
Yuan Cao
Yoshua Bengio
DiffMDRL
75
114
0
12 Mar 2020
How to GAN away Detector Effects
How to GAN away Detector Effects
Marco Bellagente
A. Butter
Gregor Kasieczka
Tilman Plehn
R. Winterhalder
GAN
84
87
0
01 Dec 2019
Bridging the Gap Between $f$-GANs and Wasserstein GANs
Bridging the Gap Between fff-GANs and Wasserstein GANs
Jiaming Song
Stefano Ermon
98
40
0
22 Oct 2019
Prescribed Generative Adversarial Networks
Prescribed Generative Adversarial Networks
Adji Bousso Dieng
Francisco J. R. Ruiz
David M. Blei
Michalis K. Titsias
GANDRL
78
62
0
09 Oct 2019
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDaDiffM
260
3,968
0
12 Jul 2019
Monte Carlo Gradient Estimation in Machine Learning
Monte Carlo Gradient Estimation in Machine Learning
S. Mohamed
Mihaela Rosca
Michael Figurnov
A. Mnih
91
416
0
25 Jun 2019
Deep Generalized Method of Moments for Instrumental Variable Analysis
Deep Generalized Method of Moments for Instrumental Variable Analysis
Andrew Bennett
Nathan Kallus
Tobias Schnabel
68
128
0
29 May 2019
Learning Implicit Generative Models by Matching Perceptual Features
Learning Implicit Generative Models by Matching Perceptual Features
Cicero Nogueira dos Santos
Youssef Mroueh
Inkit Padhi
Pierre Dognin
GAN
78
28
0
04 Apr 2019
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative
  Models
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models
Sharon Zhou
Mitchell L. Gordon
Ranjay Krishna
Austin Narcomey
Li Fei-Fei
Michael S. Bernstein
VLMEGVM
77
122
0
01 Apr 2019
Recurrent machines for likelihood-free inference
Recurrent machines for likelihood-free inference
Arthur Pesah
Antoine Wehenkel
Gilles Louppe
131
5
0
30 Nov 2018
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